Hanwoo cattle: origin, domestication, breeding strategies and genomic selection

Lee, Seung Hwan; Park, Byeongho; Sharma, Aditi; Dang, Chang Gwon; Lee, Seungsoo; Choi, Tae-Jeong; Choy, Yun Ho; Kim, Hyeong-Cheol; Jeon, K. J.; Kim, Si-Dong; Yeon, Seong–Heum; Park, Soo-Bong; Kang, Hwan-Ku

doi:10.1186/2055-0391-56-2

Cited by 89 publications

(88 citation statements)

References 14 publications

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“…The breeding program has contributed to substantial genetic improvement in economically important traits for HAN, and it is currently the most preferred beef cattle breed M A N U S C R I P T ACCEPTED MANUSCRIPT 5 among Korean consumers despite its higher price than typical imported beef (Jo et al, 2012;Lee et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Copy number variations in Hanwoo and Yanbian cattle genomes using the massively parallel sequencing data

Choi

Chung

Lim

et al. 2016

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Section: Introductionmentioning

confidence: 99%

Copy number variations in Hanwoo and Yanbian cattle genomes using the massively parallel sequencing data

Choi

Chung

Lim

et al. 2016

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“…In spite of its high price, i.e. almost three times that of imported beef meat from other breeds [5], Hanwoo beef is very popular both among Korean consumers and abroad because of these invaluable traits [6]. …”

Section: Introductionmentioning

confidence: 99%

Predictive performance of genomic selection methods for carcass traits in Hanwoo beef cattle: impacts of the genetic architecture

et al. 2017

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BackgroundHanwoo beef is known for its marbled fat, tenderness, juiciness and characteristic flavor, as well as for its low cholesterol and high omega 3 fatty acid contents. As yet, there has been no comprehensive investigation to estimate genomic selection accuracy for carcass traits in Hanwoo cattle using dense markers. This study aimed at evaluating the accuracy of alternative statistical methods that differed in assumptions about the underlying genetic model for various carcass traits: backfat thickness (BT), carcass weight (CW), eye muscle area (EMA), and marbling score (MS).MethodsAccuracies of direct genomic breeding values (DGV) for carcass traits were estimated by applying fivefold cross-validation to a dataset including 1183 animals and approximately 34,000 single nucleotide polymorphisms (SNPs).ResultsAccuracies of BayesC, Bayesian LASSO (BayesL) and genomic best linear unbiased prediction (GBLUP) methods were similar for BT, EMA and MS. However, for CW, DGV accuracy was 7% higher with BayesC than with BayesL and GBLUP. The increased accuracy of BayesC, compared to GBLUP and BayesL, was maintained for CW, regardless of the training sample size, but not for BT, EMA, and MS. Genome-wide association studies detected consistent large effects for SNPs on chromosomes 6 and 14 for CW.ConclusionsThe predictive performance of the models depended on the trait analyzed. For CW, the results showed a clear superiority of BayesC compared to GBLUP and BayesL. These findings indicate the importance of using a proper variable selection method for genomic selection of traits and also suggest that the genetic architecture that underlies CW differs from that of the other carcass traits analyzed. Thus, our study provides significant new insights into the carcass traits of Hanwoo cattle.Electronic supplementary materialThe online version of this article (doi:10.1186/s12711-016-0283-0) contains supplementary material, which is available to authorized users.

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“…Current genetic improvement programs for Korean cattle rely on the framework of genomic selection, population structure, and genetic predictions – which have become routine genomic tools (Lee et al . ). Analysis of genomic data is becoming part of the beef cattle industry and useful for the improvement of the effectiveness of genetic programs for endangered breeds such as Brindle and Jeju Black.…”

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Genome-wide linkage disequilibrium and past effective population size in three Korean cattle breeds

et al. 2016

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The routine collection and use of genomic data are useful for effectively managing breeding programs for endangered populations. Linkage disequilibrium (LD) using high-density DNA markers has been widely used to determine population structures and predict the genomic regions that are associated with economic traits in beef cattle. The extent of LD also provides information about historical events, including past effective population size (N ), and it allows inferences on the genetic diversity of breeds. The objective of this study was to estimate the LD and N in three Korean cattle breeds that are genetically similar but have different coat colors (Brown, Brindle and Jeju Black Hanwoo). Brindle and Jeju Black are endangered breeds with small populations, whereas Brown Hanwoo is the main breeding population in Korea. DNA samples from these cattle breeds were genotyped using the Illumina BovineSNP50 Bead Chip. We examined 13 cattle breeds, including European taurines, African taurines and indicines, and hybrids to compare their LD values. Brown Hanwoo consistently had the lowest mean LD compared to Jeju Black, Brindle and the other 13 cattle breeds (0.13, 0.19, 0.21 and 0.15-0.22 respectively). The high LD values of Brindle and Jeju Black contributed to small N values (53 and 60 respectively), which were distinct from that of Brown Hanwoo (531) for 11 generations ago. The differences in LD and N for each breed reflect the breeding strategy applied. The N for these endangered cattle breeds remain low; thus, effort is needed to bring them back to a sustainable tract.

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Hanwoo cattle: origin, domestication, breeding strategies and genomic selection

Cited by 89 publications

References 14 publications

Copy number variations in Hanwoo and Yanbian cattle genomes using the massively parallel sequencing data

Copy number variations in Hanwoo and Yanbian cattle genomes using the massively parallel sequencing data

Predictive performance of genomic selection methods for carcass traits in Hanwoo beef cattle: impacts of the genetic architecture

Genome-wide linkage disequilibrium and past effective population size in three Korean cattle breeds

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